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Prediction and Assessment of Splicing Alterations: Implications for clinical testing

Identifieur interne : 001339 ( Pmc/Curation ); précédent : 001338; suivant : 001340

Prediction and Assessment of Splicing Alterations: Implications for clinical testing

Auteurs : Amanda B. Spurdle [Australie] ; Fergus J. Couch [États-Unis] ; Frans B. L. Hogervorst [Pays-Bas] ; Paolo Radice [Italie] ; Olga M. Sinilnikova [France]

Source :

RBID : PMC:2832470

Abstract

Sequence variants that may result in splicing alterations are a particular class of inherited variants for which consequences can be more readily assessed, using a combination of bioinformatic prediction methods, and in vitro assays. There is also a general agreement that a variant would invariably be considered pathogenic on the basis of convincing evidence that it results in transcript(s) carrying a premature stop codon or an in-frame deletion disrupting known functional domain(s). This commentary discusses current practices used to assess the clinical significance of this class of variants, provides suggestions to improve assessment, and highlights the issues involved in routine assessment of potential splicing aberrations. We conclude that classification of sequence variants that may alter splicing is greatly enhanced by supporting in vitro analysis. Additional studies that assess large numbers of variants for induction of splicing aberrations and exon skipping are needed to define the contribution of splicing/exon skipping to cancer and disease. These studies will also provide the impetus for development of algorithms that better predict splicing patterns. We call for the deposition of all laboratory data from splicing analyses in national and international databases in order to facilitate variant classification and development of more specific bioinformatic tools.


Url:
DOI: 10.1002/humu.20901
PubMed: 18951448
PubMed Central: 2832470

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PMC:2832470

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<p id="P2">Sequence variants that may result in splicing alterations are a particular class of inherited variants for which consequences can be more readily assessed, using a combination of bioinformatic prediction methods, and
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assays. There is also a general agreement that a variant would invariably be considered pathogenic on the basis of convincing evidence that it results in transcript(s) carrying a premature stop codon or an in-frame deletion disrupting known functional domain(s). This commentary discusses current practices used to assess the clinical significance of this class of variants, provides suggestions to improve assessment, and highlights the issues involved in routine assessment of potential splicing aberrations. We conclude that classification of sequence variants that may alter splicing is greatly enhanced by supporting
<italic>in vitro</italic>
analysis. Additional studies that assess large numbers of variants for induction of splicing aberrations and exon skipping are needed to define the contribution of splicing/exon skipping to cancer and disease. These studies will also provide the impetus for development of algorithms that better predict splicing patterns. We call for the deposition of all laboratory data from splicing analyses in national and international databases in order to facilitate variant classification and development of more specific bioinformatic tools.</p>
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<surname>Spurdle</surname>
<given-names>Amanda B.</given-names>
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<name>
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<name>
<surname>Radice</surname>
<given-names>Paolo</given-names>
</name>
<xref ref-type="aff" rid="A4">4</xref>
<xref ref-type="aff" rid="A5">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sinilnikova</surname>
<given-names>Olga M.</given-names>
</name>
<xref ref-type="aff" rid="A6">6</xref>
<xref ref-type="aff" rid="A7">7</xref>
<on-behalf-of>for the IARC Unclassified Genetic Variants Working Group</on-behalf-of>
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Genetics and Population Health Division, Queensland Institute of Medical Research, Brisbane, Australia</aff>
<aff id="A2">
<label>2</label>
Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA</aff>
<aff id="A3">
<label>3</label>
DNA-diagnostic laboratory of the Family Cancer Clinic, Dept of Pathology, The Netherlands Cancer Institute, Amsterdam, The Netherlands</aff>
<aff id="A4">
<label>4</label>
Unit of Genetic Susceptibility to Cancer, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale Tumori, Milan, Italy</aff>
<aff id="A5">
<label>5</label>
IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Milan, Italy</aff>
<aff id="A6">
<label>6</label>
Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Hospices Civils de Lyon / Centre Léon Bérard, Lyon, France</aff>
<aff id="A7">
<label>7</label>
Laboratoire de Génétique Moléculaire, Signalisation et Cancer, UMR5201 CNRS, Université Lyon 1, Lyon, France</aff>
<author-notes>
<corresp id="cor1">
<bold>Author to whom correspondence should be addressed:</bold>
Amanda B. Spurdle, Genetics and Population Health Division, Queensland Institute of Medical, Research, PO Royal Brisbane Hospital, Herston, Brisbane, 4029, Australia, Tel: +617 3362 0371, Fax: +617 3362 0105, Email:
<email>Amanda.Spurdle@qimr.edu.au</email>
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<day>7</day>
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<month>11</month>
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<pub-date pub-type="pmc-release">
<day>4</day>
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<issue>11</issue>
<fpage>1304</fpage>
<lpage>1313</lpage>
<abstract>
<p id="P2">Sequence variants that may result in splicing alterations are a particular class of inherited variants for which consequences can be more readily assessed, using a combination of bioinformatic prediction methods, and
<italic>in vitro</italic>
assays. There is also a general agreement that a variant would invariably be considered pathogenic on the basis of convincing evidence that it results in transcript(s) carrying a premature stop codon or an in-frame deletion disrupting known functional domain(s). This commentary discusses current practices used to assess the clinical significance of this class of variants, provides suggestions to improve assessment, and highlights the issues involved in routine assessment of potential splicing aberrations. We conclude that classification of sequence variants that may alter splicing is greatly enhanced by supporting
<italic>in vitro</italic>
analysis. Additional studies that assess large numbers of variants for induction of splicing aberrations and exon skipping are needed to define the contribution of splicing/exon skipping to cancer and disease. These studies will also provide the impetus for development of algorithms that better predict splicing patterns. We call for the deposition of all laboratory data from splicing analyses in national and international databases in order to facilitate variant classification and development of more specific bioinformatic tools.</p>
</abstract>
<kwd-group>
<kwd>unclassified variant</kwd>
<kwd>splicing</kwd>
<kwd>bioinformatic prediction</kwd>
<kwd>cancer</kwd>
<kwd>oncology</kwd>
</kwd-group>
<contract-num rid="CA1">R01 CA116167-02 ||CA</contract-num>
<contract-num rid="CA1">P50 CA116201-030002 ||CA</contract-num>
<contract-sponsor id="CA1">National Cancer Institute : NCI</contract-sponsor>
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